What is he best known for?
The fields of study he is best known for:
- Operating system
- Database
- Programming language
Ethan L. Miller mostly deals with Database, Computer data storage, Operating system, Computer hardware and Metadata.
His work carried out in the field of Database brings together such families of science as Security token, Computer access control and Disk array.
His research in Computer data storage intersects with topics in Pointer, Range, Volume, Scheduling and Table.
As part of the same scientific family, he usually focuses on Metadata, concentrating on Scalability and intersecting with File server, Distributed computing and Meta Data Services.
His work deals with themes such as Storage Resource Broker, Object storage, Distributed File System and Torrent file, which intersect with Metadata management.
His Self-certifying File System study improves the overall literature in File system.
His most cited work include:
- Ceph: a scalable, high-performance distributed file system (1218 citations)
- Evaluation of distributed recovery in large-scale storage systems (959 citations)
- Garbage collection in a storage system (391 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Computer data storage, Computer hardware, Operating system, Database and File system.
His work focuses on many connections between Computer data storage and other disciplines, such as Distributed computing, that overlap with his field of interest in Hash function and Redundancy.
His Computer hardware study incorporates themes from Controller and Scheduling.
His Database study deals with Metadata intersecting with Scalability.
His work on Self-certifying File System as part of general File system study is frequently linked to Non-volatile random-access memory, therefore connecting diverse disciplines of science.
In Self-certifying File System, Ethan L. Miller works on issues like Unix file types, which are connected to Versioning file system.
He most often published in these fields:
- Computer data storage (27.24%)
- Computer hardware (19.31%)
- Operating system (15.17%)
What were the highlights of his more recent work (between 2018-2021)?
- Computer data storage (27.24%)
- Computer hardware (19.31%)
- Computer network (10.69%)
In recent papers he was focusing on the following fields of study:
His main research concerns Computer data storage, Computer hardware, Computer network, Disk array and Client.
His study explores the link between Computer data storage and topics such as Secret sharing that cross with problems in Key and Set.
Ethan L. Miller frequently studies issues relating to Controller and Computer hardware.
Ethan L. Miller combines subjects such as Cloud computing and Data management with his study of Computer network.
His Disk array study integrates concerns from other disciplines, such as Replication, Flash storage and Parallel computing.
His study in Client is interdisciplinary in nature, drawing from both RAID, Scheduling and Flash memory.
Between 2018 and 2021, his most popular works were:
- SSP: Eliminating Redundant Writes in Failure-Atomic NVRAMs via Shadow Sub-Paging (6 citations)
- String Figure: A Scalable and Elastic Memory Network Architecture (4 citations)
- Optimizing Systems for Byte-Addressable NVM by Reducing Bit Flipping. (3 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Programming language
- Computer network
Ethan L. Miller mainly focuses on Computer security, Computer hardware, Computer data storage, Steganographic file system and Operating system.
His work on Secret sharing and Encryption as part of general Computer security research is frequently linked to Computing systems, thereby connecting diverse disciplines of science.
His research on Computer hardware often connects related topics like Scheduling.
His Computer data storage study often links to related topics such as Client.
His Operating system study frequently draws connections between adjacent fields such as Non-volatile memory.
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